# Regression and inference

Content for Thursday, January 19, 2023

## Readings

- Chapters 3 and 4 in
*The Effect*(Huntington-Klein 2021)

## Recommended readings

Look through your notes on regression from your last stats class. Also, you can skim through these resources:

- 5.1–5.4 in
*ModernDive*(Ismay and Kim 2019) - 6.1–6.4 in
*ModernDive*(Ismay and Kim 2019) - 7.1–7.3 in
*OpenIntro Statistics*(Diez, Barr, and Çetinkaya-Rundel 2017) - 8.1 in
*OpenIntro Statistics*(Diez, Barr, and Çetinkaya-Rundel 2017)

We’ll review all this regression stuff in the videos, so *don’t panic* if this all looks terrifying! Also, take advantage of the videos that accompany the *OpenIntro* chapters. And *also*, the *OpenIntro* chapters are heavier on the math—don’t worry if you don’t understand everything.

## Slides

The slides for today’s lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later). You can also click in the slides below and navigate through them with your left and right arrow keys.

**Fun fact**: If you type `?` (or `shift` + `/`) while going through the slides, you can see a list of special slide-specific commands.

## Videos

Videos for each section of the lecture are available at this YouTube playlist.

You can also watch the playlist (and skip around to different sections) here:

## In-class stuff

Here are all the materials we’ll use in class:

**Session 2 FAQ slides**(PDF)- Errors vs. warnings vs. messages (i.e. what to do when R shows you red text)
- R Markdown examples:
- Quarto!
- Example R Markdown file used as a code-through or step-by-step teaching document:
- Lots of blog posts here
- Julia Silge, “Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets”
- Bob Rudis, “Some Covid Donuts To End The Week”
- Holger K. von Jouanne-Diedrich, “The “Youth Bulge” of Afghanistan: The Hidden Force behind Political Instability”

- Example R Markdown file used as a publicly-consumable document:
- Click on the “Manuscript” menu item at this site
- See the Rmd file here

Hands-on R materials:

## Bayesian statistics resources

In class I briefly mentioned the difference between frequentist and Bayesian statistics. You can see a bunch of additional resources and examples of these two approaches to statistics here. This huge blog post also shows how to do multilevel models with Bayesian models.

## References

*OpenIntro Statistics*. 3rd ed. https://www.openintro.org/book/stat/.

*The Effect: An Introduction to Research Design and Causality*. Boca Raton, Florida: Chapman and Hall / CRC. https://theeffectbook.net/.

*Statistical Inference via Data Science: A ModernDive into R and the Tidyverse*. Chapman and Hall / CRC. https://moderndive.com/.